xxxfreesexmoves-haodiaocao这里只有精品视频-欧美性受黑人性爽-欧美性受xxxxxx黑人xyx性爽|www.jsyyzsb.com

    這本實(shí)用指南為開發(fā)人員講解在 C++ 中實(shí)現(xiàn)優(yōu)化的性能調(diào)優(yōu)原則。您將學(xué)習(xí)如何使得已經(jīng)包含了 C++ 設(shè)計(jì)最佳實(shí)踐的代碼在任何計(jì)算機(jī)上更快地運(yùn)行并消耗更少的資源——無(wú)論是手表，電話，工作站，超級(jí)計(jì)算機(jī)或全球服務(wù)器網(wǎng)絡(luò)。作者 Kurt Guntheroth 提供了幾個(gè)運(yùn)行示例，演示如何逐步應(yīng)用這些原則以改進(jìn)現(xiàn)有代碼，從而滿足客戶對(duì)響應(yīng)速度和數(shù)據(jù)吞吐量的要求。

Preface

1． An Overview of Optimization

Optimization Is Part of Software Development

Optimization Is Effective

It's OK to Optimize

A Nanosecond Here， a Nanosecond There

Summary of Strategies for Optimizing C++ Code

Use a Better Compiler， Use Your Compiler Better

Use Better Algorithms

Use Better Libraries

Reduce Memory Allocation and Copying

Remove Computation

Use Better Data Structures

Increase Concurrency

Optimize Memory Management

Summary

2． Computer Behavior Affecting Optimization

Lies C++ Believes About Computers

The Truth About Computers

Memory Is Slow

Memory Is Not Accessed in Bytes

Some Memory Accesses Are Slower than Others

Memory Words Have a Big End and a Little End

Memory Has Finite Capacity

Instruction Execution Is Slow

Making Decisions Is Hard for Computers

There Are Multiple Streams of Program Execution

Calling into the Operating System Is Expensive

C++ Tells Lies Too

All Statements Are Not Equally Expensive

Statements Are Not Executed in Order

Summary

3． Measure Performance

The Optimizing Mindset

Performance Must Be Measured

Optimizers Are Big Game Hunters

The 90/10 Rule

Amdahl's Law

Perform Experiments

Keep a Lab Notebook

Measure Baseline Performance and Set Goals

You Can Improve Only What You Measure

Profile Program Execution

Time Long-Running Code

'~ Little Learning" About Measuring Time

Measuring Time with Computers

Overcoming Measurement Obstacles

Create a Stopwatch Class

Time Hot Functions in a Test Harness

Estimate Code Cost to Find Hot Code

Estimate the Cost of Individual C++ Statements

Estimate the Cost of Loops

Other Ways to Find Hot Spots

Summary

4． Optimize String Use： A Case Study

Why Strings Are a Problem

Strings Are Dynamically Allocated

Strings Are Values

Strings Do a Lot of Copying

First Attempt at Optimizing Strings

Use Mutating String Operations to Eliminate Temporaries

Reduce Reallocation by Reserving Storage

Eliminate Copying of String Arguments

Eliminate Pointer Dereference Using Iterators

Eliminate Copying of Returned String Values

Use Character Arrays Instead of Strings

……

5． Optimize Algorithms

6． Optimize Dynamically Allocated Variables

7． Optimize Hot Statements

8． Use Better Libraries

9． Optimize Searching and Sorting

10． Optimize Data Structures

11． Optimize I/0

12． Optimize Concurrency

13． Optimize Memory Management